*** previous/implicit-filters.xml	2008-02-14 09:06:56.000000000 +0100
--- current/implicit-filters.xml	2008-03-13 13:34:37.000000000 +0100
***************
*** 36,41 ****
--- 36,42 ----
      
      <section id="sec-intro">
        <head>Introduction</head>
+ 
        <p>
          This specification is an extension to the XBRL Variables 1.0
          Specification <bibref ref="VARIABLES"/>. 
***************
*** 61,76 ****
        </p>
        
        <p>
! 	    These inferred match filters serve to equate the values of uncovered aspects
          across fact variables.  For any two fact variables in a variable set
          that do not have filters covering a specific aspect, those two fact variables
          will only ever evaluate to facts that report equivalent values for that aspect.
          <definition id="term-implicit-value-of-an-aspect" term="implicit value of an aspect">
            For any aspect that is uncovered for at least one fact variable in a variable set,
            The <term>implicit value of that aspect</term> is the 
            the value that it takes for each fact variable in the 
            variable set that does not have a filter covering that aspect.
          </definition>
          It is possible for the implicit value of an aspect to be a missing value for that aspect.  
          In other words, it is possible for an aspect not to be reported for all of the facts that 
          all of the fact variables, not covering the aspect, have evaluated to.
--- 62,83 ----
        </p>
        
        <p>
! 	     These inferred match filters serve to equate the values of uncovered aspects
          across fact variables.  For any two fact variables in a variable set
          that do not have filters covering a specific aspect, those two fact variables
          will only ever evaluate to facts that report equivalent values for that aspect.
+       </p>
+       
+       <p>
          <definition id="term-implicit-value-of-an-aspect" term="implicit value of an aspect">
            For any aspect that is uncovered for at least one fact variable in a variable set,
            The <term>implicit value of that aspect</term> is the 
            the value that it takes for each fact variable in the 
            variable set that does not have a filter covering that aspect.
          </definition>
+       </p>
+       
+       <p>
          It is possible for the implicit value of an aspect to be a missing value for that aspect.  
          In other words, it is possible for an aspect not to be reported for all of the facts that 
          all of the fact variables, not covering the aspect, have evaluated to.
***************
*** 317,322 ****
--- 324,336 ----
            </tbody>
          </table>
  
+         <p>
+           <exampleref ref="example-balance-sheet-variable-set"/> shows the small number of 
+           non-implicit filters required to define variables that would support computation
+           of equity from data on assets and liabilities.  Only the covering concept-name filters
+           need to be explicit.  All others are implicit.
+         </p>
+ 
          <example role="nonNormativeExample" id="example-balance-sheet-variable-set">
            <caption>
              Implicit filtering with a non-dimensional aspect model to support equity calculation formulae.
***************
*** 441,446 ****
--- 455,467 ----
            </tbody>
          </table>
          
+         <p>
+           <exampleref ref="example-stock-flow-variable-set"/> shows the small number of 
+           non-implicit filters required to define variables that would support stock flow 
+           computations.  Only the covering concept-name, instant-duration and typed dimension
+           filters are explicit.  All others are implicit.
+         </p>
+         
          <example role="nonNormativeExample" id="example-stock-flow-variable-set">
            <caption>
            Implicit filtering with a dimensional aspect model to support calculation of end-of-period stocks.</caption>
***************
*** 571,576 ****
--- 592,610 ----
              Added examples.
            </p>
          </revision>
+ 
+         <revision ref="person-geoff" day="13" month="03" year="2008">
+           <p>
+             Made the introduction more easily read by breaking up the larger
+             paragraphs.
+           </p>
+           <p>
+             Added explanatory paragraph for each of the examples.
+           </p>
+           <p>
+            These changes were suggested by CompSci Resources.
+           </p>
+         </revision>
          
        </revisions>
  
*** previous/implicit-filters.xml	2008-02-14 09:06:56.000000000 +0100
--- current/implicit-filters.xml	2008-03-20 21:00:56.000000000 +0100
***************
*** 36,41 ****
--- 36,42 ----
      
      <section id="sec-intro">
        <head>Introduction</head>
+ 
        <p>
          This specification is an extension to the XBRL Variables 1.0
          Specification <bibref ref="VARIABLES"/>. 
***************
*** 61,76 ****
        </p>
        
        <p>
! 	    These inferred match filters serve to equate the values of uncovered aspects
          across fact variables.  For any two fact variables in a variable set
          that do not have filters covering a specific aspect, those two fact variables
          will only ever evaluate to facts that report equivalent values for that aspect.
          <definition id="term-implicit-value-of-an-aspect" term="implicit value of an aspect">
            For any aspect that is uncovered for at least one fact variable in a variable set,
            The <term>implicit value of that aspect</term> is the 
            the value that it takes for each fact variable in the 
            variable set that does not have a filter covering that aspect.
          </definition>
          It is possible for the implicit value of an aspect to be a missing value for that aspect.  
          In other words, it is possible for an aspect not to be reported for all of the facts that 
          all of the fact variables, not covering the aspect, have evaluated to.
--- 62,83 ----
        </p>
        
        <p>
! 	     These inferred match filters serve to equate the values of uncovered aspects
          across fact variables.  For any two fact variables in a variable set
          that do not have filters covering a specific aspect, those two fact variables
          will only ever evaluate to facts that report equivalent values for that aspect.
+       </p>
+       
+       <p>
          <definition id="term-implicit-value-of-an-aspect" term="implicit value of an aspect">
            For any aspect that is uncovered for at least one fact variable in a variable set,
            The <term>implicit value of that aspect</term> is the 
            the value that it takes for each fact variable in the 
            variable set that does not have a filter covering that aspect.
          </definition>
+       </p>
+       
+       <p>
          It is possible for the implicit value of an aspect to be a missing value for that aspect.  
          In other words, it is possible for an aspect not to be reported for all of the facts that 
          all of the fact variables, not covering the aspect, have evaluated to.
***************
*** 217,229 ****
            The implicit filter for an uncovered 
            <xtermref bibref="VARIABLES" idref="term-concept-aspect">concept aspect</xtermref> 
            would be a 
!           <xtermref bibref="VARIABLES" idref="term-concept-matching-filter">concept matching filter</xtermref>.
          </p> 
          <p>
            Similarly, the implicit filter for an uncovered 
            <xtermref bibref="VARIABLES" idref="term-period-aspect">period aspect</xtermref> 
            would be a  
!           <xtermref bibref="VARIABLES" idref="term-period-matching-filter">period matching filter</xtermref>.
          </p> 
        </example>
  
--- 224,236 ----
            The implicit filter for an uncovered 
            <xtermref bibref="VARIABLES" idref="term-concept-aspect">concept aspect</xtermref> 
            would be a 
!           <xtermref bibref="MATCHFILTERS" idref="term-concept-matching-filter">concept matching filter</xtermref>.
          </p> 
          <p>
            Similarly, the implicit filter for an uncovered 
            <xtermref bibref="VARIABLES" idref="term-period-aspect">period aspect</xtermref> 
            would be a  
!           <xtermref bibref="MATCHFILTERS" idref="term-period-matching-filter">period matching filter</xtermref>.
          </p> 
        </example>
  
***************
*** 317,322 ****
--- 324,336 ----
            </tbody>
          </table>
  
+         <p>
+           <exampleref ref="example-balance-sheet-variable-set"/> shows the small number of 
+           non-implicit filters required to define variables that would support computation
+           of equity from data on assets and liabilities.  Only the covering concept-name filters
+           need to be explicit.  All others are implicit.
+         </p>
+ 
          <example role="nonNormativeExample" id="example-balance-sheet-variable-set">
            <caption>
              Implicit filtering with a non-dimensional aspect model to support equity calculation formulae.
***************
*** 441,446 ****
--- 455,467 ----
            </tbody>
          </table>
          
+         <p>
+           <exampleref ref="example-stock-flow-variable-set"/> shows the small number of 
+           non-implicit filters required to define variables that would support stock flow 
+           computations.  Only the covering concept-name, instant-duration and typed dimension
+           filters are explicit.  All others are implicit.
+         </p>
+         
          <example role="nonNormativeExample" id="example-stock-flow-variable-set">
            <caption>
            Implicit filtering with a dimensional aspect model to support calculation of end-of-period stocks.</caption>
***************
*** 571,576 ****
--- 592,616 ----
              Added examples.
            </p>
          </revision>
+ 
+         <revision ref="person-geoff" day="13" month="03" year="2008">
+           <p>
+             Made the introduction more easily read by breaking up the larger
+             paragraphs.
+           </p>
+           <p>
+             Added explanatory paragraph for each of the examples.
+           </p>
+           <p>
+            These changes were suggested by CompSci Resources.
+           </p>
+         </revision>
+ 
+         <revision ref="person-geoff" day="20" month="03" year="2008">
+           <p>
+             Fixed broken hyperlinks.
+           </p>
+         </revision>        
          
        </revisions>
  
